|
17 Sep 2019
A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME
Z. Zong, C. Chen, X. Mi, W. Sun, Y. Song, J. Li, Z. Dong, R. Huang, and B. Yang
Viewed
Total article views: 1,089 (including HTML, PDF, and XML)
HTML |
PDF |
XML |
Total |
BibTeX |
EndNote |
616 |
451 |
22 |
1,089 |
27 |
24 |
- HTML: 616
- PDF: 451
- XML: 22
- Total: 1,089
- BibTeX: 27
- EndNote: 24
Views and downloads (calculated since 17 Sep 2019)
Cumulative views and downloads
(calculated since 17 Sep 2019)
Viewed (geographical distribution)
Total article views: 1,036 (including HTML, PDF, and XML)
Thereof 1,033 with geography defined
and 3 with unknown origin.
|
Total: |
0 |
HTML: |
0 |
PDF: |
0 |
XML: |
0 |
Cited
Latest update: 22 Jul 2024